Fang Li Yuan
About Fang Li Yuan
Fang Li Yuan is a Senior Hardware Design Manager at Flex Logix Technologies, Inc., specializing in RTL simulation, circuit synthesis, and low-power design. He holds a Ph.D. in Electrical Engineering from UCLA and has extensive experience in micro-architecture design and chip validation.
Current Role at Flex Logix Technologies
Fang Li Yuan currently serves as a Senior Hardware Design Manager at Flex Logix Technologies, Inc. since 2021. In this role, he focuses on hardware design management, leveraging his extensive experience in RTL simulation, circuit synthesis, and low-power design. His responsibilities include overseeing design projects and ensuring the successful implementation of hardware solutions in Mountain View, California.
Previous Experience at Flex Logix Technologies
Prior to his current position, Fang Li Yuan held multiple roles at Flex Logix Technologies, Inc. He worked as a Principal Design Engineer from 2014 to 2018, and as a Hardware Design Manager from 2018 to 2021. During these years, he contributed to various projects, enhancing his expertise in micro-architecture design and RTL implementation for DSP processors and OFDM baseband transceivers.
Education and Expertise
Fang Li Yuan earned his Doctor of Philosophy (Ph.D.) in Electrical Engineering from UCLA, where he studied from 2009 to 2014. He also holds a Master of Science (MS) in Electrical Engineering from National Taiwan University, completed from 2006 to 2008, and a Bachelor of Science (BS) in Electrical Engineering from the same institution, achieved from 2002 to 2006. His academic background supports his specialization in DFT, MBIST, and ECO processes.
Technical Skills and Specializations
Fang Li Yuan possesses a range of technical skills relevant to hardware design, including RTL simulation, circuit synthesis, and low-power design. He has expertise in micro-architecture design and RTL implementation for DSP processors and OFDM baseband transceivers. Additionally, he has experience with successful chip tapeout and validation using advanced technology nodes such as TSMC65nm, 45nm, 40ULP, 28HPC+, and 16FFC.
Involvement in FPGA and Inference Acceleration
Fang Li Yuan has been involved in the design and implementation of embedded FPGA and inference acceleration blocks. His work in this area demonstrates his ability to integrate complex hardware solutions that enhance processing capabilities, contributing to advancements in hardware design and technology.